Moving deep learning to the mass market

Moving deep learning to the mass market

Deep learning is becoming most widely used techniques for computer vision and pattern recognition. This primarily driven by it is outstanding recognition rate. However, it’s high computational requirements, drives the power requirements to levels that are not reasonable for most embedded systems. In this talk, I will address this problem from two aspects. First, from problem definition and algorithm optimization point of view. Second form target deployment platform selection and optimization prospective.